SOTAVerified

Knowledge Base Population

Knowledge base population is the task of filling the incomplete elements of a given knowledge base by automatically processing a large corpus of text.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–140 of 140 papers

TitleStatusHype
Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features—0
The Task 2 of CIPS-SIGHAN 2012 Named Entity Recognition and Disambiguation in Chinese Bakeoff—0
Extracting Narrative Timelines as Temporal Dependency Structures—0
Relabeling Distantly Supervised Training Data for Temporal Knowledge Base Population—0
A Context-Aware Approach to Entity Linking—0
A Robust Shallow Temporal Reasoning System—0
Evaluating the Quality of a Knowledge Base Populated from Text—0
Population of a Knowledge Base for News Metadata from Unstructured Text and Web Data—0
Linguistic Resources for Entity Linking Evaluation: from Monolingual to Cross-lingual—0
Challenges in the Knowledge Base Population Slot Filling Task—0
Creating and Curating a Cross-Language Person-Entity Linking Collection—0
GerNED: A German Corpus for Named Entity Disambiguation—0
Aleda, a free large-scale entity database for French—0
A Gold Standard for Relation Extraction in the Food Domain—0
TIMEN: An Open Temporal Expression Normalisation ResourceCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VE-BERTF10.36—Unverified